TPF-C Technology Plan - Exoplanet Exploration Program - NASA
TPF-C Technology Plan - Exoplanet Exploration Program - NASA
TPF-C Technology Plan - Exoplanet Exploration Program - NASA
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Chapter 5<br />
categories, in reality each of the sub-categories contribute to the three main M&MV technology<br />
areas in a distinct manner, as described in the table descriptions for Tables 5-1, 5-2, and 5-3.<br />
Development and Validation of Analysis Tools<br />
This technology area addresses the analysis tools that will be developed and validated in order to<br />
meet the <strong>TPF</strong>-C modeling needs, as summarized in Table 5-1.<br />
The goal is to develop and verify analytical capabilities required for future analyses of the <strong>TPF</strong>-C<br />
flight system and testbeds. These include the ability to efficiently and accurately analyze multidisciplinary<br />
systems in an integrated environment, to develop tools to introduce localized nonlinearities<br />
and perform time-dependent and transient temperature-dependent simulations, to<br />
develop approaches to propagate uncertainties from component level to contrast, and to validate<br />
optical analysis tools for diffraction and polarization applications by benchmarking results from<br />
multiple codes.<br />
Characterize and Validate Basic Physics Models<br />
This technology area addresses the need to collect physical data to incorporate into <strong>TPF</strong>-C<br />
models at the required level of accuracy, as summarized in Table 5-2.<br />
Table 5-1. Development and Validation of Analysis Tools<br />
<strong>Technology</strong> Description Validation Approach<br />
Integrated<br />
Modeling Tool<br />
e2e simulation of thermal, structural and<br />
optical performance. Includes capability<br />
for multi-disciplinary control and<br />
optimization. Requires improved accuracy<br />
and effectiveness.<br />
Compare closed form and textbook problems<br />
Benchmark with commercial codes<br />
Validate predictions on testbeds<br />
Error Budget and<br />
Performance<br />
Modeling<br />
Error budget allocation process, including<br />
sensitivity flow down and margin<br />
allocation strategy<br />
Validate HCIT error budget, and exercise error<br />
sensitivities and modeling tolerances<br />
Nonlinear<br />
Mechanical<br />
Analysis<br />
Develop analysis tools to incorporate<br />
models of localized non-linearities (e.g.,<br />
hinge/latch, geometric imperfections, and<br />
mirror seal plane micro-cracking), bound<br />
μdynamics, and update models from tests<br />
Validate bounding analyses and system response<br />
predictions on benchmark problems and on<br />
testbeds (Precision Stability Testbed and SM<br />
Tower Testbed)<br />
Optical Analysis<br />
Evaluate existing capability to accurately<br />
model diffraction, polarization, WFSC,<br />
scattered light<br />
Compare benchmark problems on existing<br />
codes: MACOS, Code V<br />
Validate models on HCIT<br />
Uncertainty<br />
Analysis<br />
Develop approach and tools to propagate<br />
analytical errors from model form,<br />
physical parameters, tool accuracy<br />
Develop benchmark problems<br />
Apply and validate results on all testbed models<br />
Verify sensitivity to errors in testbeds.<br />
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